pmemkv is a local/embedded key-value datastore optimized for persistent memory. Rather than being tied to a single language or backing implementation, pmemkv provides different options for language bindings and storage engines.

For more information, including C API and C++ API see: https://pmem.io/pmemkv. Documentation is available for every branch/release. For most recent always see (master branch):

• C++ docs,
• C manpage libpmemkv(3).

Latest releases can be found on the "releases" tab.

Up-to-date, current support/maintenance status of branches/releases is available on pmem.io.

There is also a small helper library pmemkv_json_config provided. See its manual for details.

1. Installation
2. Language Bindings
   • C/C++ Examples
   • Other Languages
3. Storage Engines
4. Benchmarks
5. Contact us

Installation guide provides detailed instructions how to build and install pmemkv from sources, build rpm and deb packages and explains usage of experimental engines and pool sets.

• Building from Sources
• Installing on Fedora
• Installing on Ubuntu
• Using Experimental Engines
• Building Packages
• Using a Pool Set

pmemkv is written in C/C++ and can be used in other languages - Java, Node.js, Python, and Ruby.

Examples for C and C++ can be found within this repository in examples directory.

The above-mentioned bindings are maintained in separate GitHub repositories, but are still kept in sync with the main pmemkv distribution.

• Java - https://github.com/pmem/pmemkv-java
• Node.js - https://github.com/pmem/pmemkv-nodejs
• Python - https://github.com/pmem/pmemkv-python
• Ruby - https://github.com/pmem/pmemkv-ruby

pmemkv provides multiple storage engines that share common API, so every engine can be used with all language bindings and utilities. Engines are loaded by name at runtime.

The production quality engines are described in the libpmemkv(7) manual and the experimental ones are described in the ENGINES-experimental.md file.

Contributing a new engine is easy, so feel encouraged!

Experimental benchmark based on leveldb's db_bench to measure pmemkv's performance is available here: https://github.com/pmem/pmemkv-bench (previously pmemkv-tools).

For more information about pmemkv, contact Szymon Romik ([email protected]), Piotr Balcer ([email protected]) or post on our #pmem Slack channel using this invite link or Google group.